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K. K. Nakka · SciRah

Researcher profile · Semantic Scholar

K. K. Nakka

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K. K. Nakka — researcher profile on SciRah

h-index: 10
Works: 28
Citations: 554

Most-cited papers

Detecting the Unexpected via Image Resynthesis
Krzysztof Baron-Lis, K. K. Nakka, P. Fua, M. Salzmann
2019IEEE International Conference on Computer Vision236 citations Open access
Semantic Scholar
Learning Transferable Adversarial Perturbations
K. K. Nakka, M. Salzmann
2021Neural Information Processing Systems75 citations
Semantic Scholar
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
K. K. Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang +1 more
2024PRIVATENLP37 citations
Semantic Scholar
Indirect Local Attacks for Context-aware Semantic Segmentation Networks
K. K. Nakka, M. Salzmann
2019European Conference on Computer Vision37 citations Open access
Semantic Scholar
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
Ahmed Frikha, Nassim Walha, K. K. Nakka, Ricardo Mendes +2 more
2024IJCNLP-AACL29 citations
Semantic Scholar
Deep Learning Based Fence Segmentation and Removal from an Image Using a Video Sequence
Sankaraganesh Jonna, K. K. Nakka, R. R. Sahay
2016ECCV Workshops18 citations Open access
Semantic Scholar
My camera can see through fences: A deep learning approach for image de-fencing
Sankaraganesh Jonna, K. K. Nakka, R. R. Sahay
2015Asian Conference on Pattern Recognition17 citations Open access
Semantic Scholar
PII-Scope: A Comprehensive Study on Training Data PII Extraction Attacks in LLMs
K. K. Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang +1 more
202411 citations
Semantic Scholar
PrivacyScalpel: Enhancing LLM Privacy via Interpretable Feature Intervention with Sparse Autoencoders
Ahmed Frikha, Muhammad Reza Ar Razi, K. K. Nakka, Ricardo Mendes +2 more
2025Proceedings of the 8th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP10 citations
Semantic Scholar
Deep Attentional Structured Representation Learning for Visual Recognition
K. K. Nakka, M. Salzmann
2018British Machine Vision Conference10 citations
Semantic Scholar
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
K. K. Nakka, M. Salzmann
2020arXiv.org9 citations
Semantic Scholar
Universal, Transferable Adversarial Perturbations for Visual Object Trackers
K. K. Nakka, M. Salzmann
2022ECCV Workshops8 citations
Semantic Scholar
Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features
K. K. Nakka, M. Salzmann
2020Asian Conference on Computer Vision8 citations Open access
Semantic Scholar
Detection and removal of fence occlusions in an image using a video of the static/dynamic scene.
Sankaraganesh Jonna, K. K. Nakka, Vrushali S. Khasare, R. R. Sahay +1 more
2016Journal of The Optical Society of America A-optics Image Science and Vision7 citations
Semantic Scholar
Non-uniform sampling in EPR--optimizing data acquisition for HYSCORE spectroscopy.
K. K. Nakka, Y. Tesiram, Ian M. Brereton, M. Mobli +1 more
2014Physical Chemistry, Chemical Physics - PCCP7 citations
Semantic Scholar
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs
K. K. Nakka, Ahmed Frikha, Ricardo Mendes, Xue Jiang +1 more
2025IJCNLP-AACL6 citations Open access
Semantic Scholar
ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets
Ahmed Frikha, Nassim Walha, Ricardo Mendes, K. K. Nakka +2 more
2024arXiv.org6 citations
Semantic Scholar
PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage
K. K. Nakka, Xue Jiang, Dmitrii Usynin, Xue-Bing Zhou
2025Proceedings of the 6th Workshop on Trustworthy NLP (TrustNLP 2026)5 citations
Semantic Scholar
3D-to-2D mapping for user interactive segmentation of human leg muscles from MRI data
Nilanjan Ray, Satarupa Mukherjee, K. K. Nakka, S. Acton +1 more
2014IEEE Global Conference on Signal and Information Processing5 citations
Semantic Scholar
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
K. K. Nakka, Alexandre Alahi
2025IEEE Workshop/Winter Conference on Applications of Computer Vision3 citations
Semantic Scholar
Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
K. K. Nakka
2025Deep-Breath@MICCAI3 citations
Semantic Scholar
Federated Hyperparameter Optimization through Reward-Based Strategies: Challenges and Insights
K. K. Nakka, Ahmed Frikha, Ricardo Mendis, Xue Jiang +1 more
20242024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)3 citations
Semantic Scholar
Towards an Automated Image De-fencing Algorithm Using Sparsity
Sankaraganesh Jonna, K. K. Nakka, R. R. Sahay
2016arXiv.org3 citations
Semantic Scholar
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
K. K. Nakka, Mathieu Salzmann
2023arXiv.org2 citations Open access
Semantic Scholar
MammoClaw: Towards Skill-Evolving Agent Harness for Breast Cancer Mammography Analysis
K. K. Nakka
20260 citations
Semantic Scholar
From Steering to Pedalling: Do Autonomous Driving VLMs Generalize to Cyclist-Assistive Spatial Perception and Planning?
K. K. Nakka, Vedasri Nakka
2026arXiv.org0 citations
Semantic Scholar
Interpretable BoW Networks for Adversarial Example Detection
K. K. Nakka, M. Salzmann
2019arXiv.org0 citations
Semantic Scholar
Automatic Image De-fencing System
K. K. Nakka
2016arXiv.org0 citations
Semantic Scholar

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